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author:

Wei, Fengying (Wei, Fengying.) [1] | Chen, Fangxiang (Chen, Fangxiang.) [2]

Indexed by:

EI

Abstract:

This article discusses a stochastic SIQS epidemic model with saturated incidence. We assume that random perturbations always fluctuate at the endemic equilibrium. The existence of a global positive solution is obtained by constructing a suitable Lyapunov function. Under some suitable conditions, we derive the stochastic boundedness and stochastic permanence of the solutions of a stochastic SIQS model. Some numerical simulations are carried out to check our results. © 2016 Elsevier B.V. All rights reserved.

Keyword:

Epidemiology Lyapunov functions Random processes Stochastic models Stochastic systems

Community:

  • [ 1 ] [Wei, Fengying]College of Mathematics and Computer Science, Fuzhou University, Fuzhou Fujian; 350116, China
  • [ 2 ] [Wei, Fengying]Department of Mathematics and Statistics, University of Helsinki, Helsinki; 00014, Finland
  • [ 3 ] [Chen, Fangxiang]College of Mathematics and Computer Science, Fuzhou University, Fuzhou Fujian; 350116, China

Reprint 's Address:

  • [wei, fengying]department of mathematics and statistics, university of helsinki, helsinki; 00014, finland;;[wei, fengying]college of mathematics and computer science, fuzhou university, fuzhou fujian; 350116, china

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Source :

Physica A: Statistical Mechanics and its Applications

ISSN: 0378-4371

Year: 2016

Volume: 453

Page: 99-107

2 . 2 4 3

JCR@2016

2 . 8 0 0

JCR@2023

ESI HC Threshold:186

JCR Journal Grade:1

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 45

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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